Anxiety and Depression in School-going children with Epilepsy

Background: This study was designed to find the prevalence of anxiety and depression in school-going children with epilepsy.Methods:All the patients with epilepsy presenting during the study period underwent detailed clinical and EEG evaluation. Hospital Anxiety and Depression score (HADS) was used to screen for anxiety and depression.Results:We identified 190 patients with epilepsy during the study period. Out of these 30 (15.8%) were diagnosed as having treatment resistance epilepsy. Anxiety was diagnosed in 114 (60%) and depression in 62 (32.6%). Patients with drug resistant epilepsy were found to have statistically significant markers in the form of higher scores for depression and anxiety, and lower IQ scores. Frequency of GTCS (Generaized Tonic Clonic Seizures) showed inverse correlation with IQ scores and direct correlation to the anxiety/depression scores.Conclusion:We conclude that anxiety and depression in school-going children with epilepsy is common and that it has a correlation with treatment resistance.

A Reevaluation of the 1990 “Minnesota Study of Twins Reared Apart” IQ Study

In 1990, Thomas J. Bouchard, Jr. and colleagues published the widely cited 1990 “Minnesota Study of Twins Reared Apart” (MISTRA) Science IQ study. To arrive at the conclusion that “IQ is strongly affected by genetic factors,” Bouchard and colleagues omitted their control group reared-apart dizygotic twin (“DZA”) IQ-score correlations. Near-full-sample correlations published after the study’s 2000 endpoint show that the reared-apart monozygotic twin (“MZA”) and DZA group IQ correlations did not differ at a statistically significant level, suggesting that the study failed the first step in determining that IQ scores are influenced by heredity. After bypassing the model-fitting technique they used in most non-IQ MISTRA studies, the researchers assumed that the MZA group IQ-score correlation alone “directly estimates heritability.” This method was based on unsupported assumptions by the researchers, and they largely overlooked the confounding influence of cohort effects. Bouchard and colleagues then decided to count most environmental influences they did recognize as genetic influences. I conclude that the MISTRA IQ study failed to discover genetic influences on IQ scores and cognitive ability across the studied population, and that the study should be evaluated in the context of psychology’s replication problem.

Aberrant Dynamics of Regional Coherence Measured by Resting-State fMRI in Children With Benign Epilepsy With Centrotemporal Spikes (BECTS)

Objective: To explore the dynamic features of intrinsic brain activity measured by fMRI in children with benign epilepsy with centrotemporal spikes (BECTS) and examine whether these indexes were associated with behaviors.Methods: We recruited 26 children with BECTS (10.35 ± 2.91 years) and 26 sex-, and age-matched (11.35 ± 2.51 years) healthy controls (HC) and acquired resting-state functional magnetic resonance imaging (rs-fMRI) and behavioral data. Dynamic regional homogeneity (dReHo), including mean and coefficient of variation (CV) metrics derived from the rs-fMRI data, and were compared between the BECTS and the HC groups.Results: Significantly decreased mean dReHo in bilateral supramarginal gyrus, left middle temporal gyrus (MTG.L), left postcentral gyrus and superior occipital gyrus were found in children with BECTS. Meanwhile, increased CV of dReHo in MTG.L and right fusiform in children with BECTS was revealed compared with HC. Further analyses of functional connectivity revealed decreased global signal FC existed in similar regions, linked with linguistic, social cognition, and sensorimotor processes, in children with BECTS compared with HCs. Moreover, the association analyses showed that the CV of dReHo in MTG.L was positively associated with age and a negative correlation was found between mean dReHo of MTG.L and disease duration. Besides, the CV of dReHo in MTG.L was found positively associated with the intelligence quotient (IQ) language scores and full IQ scores in children with BECTS, and the CV of dReHo in the left inferior temporal gyrus and Rolandic operculum were positively correlated with IQ operation scores and full IQ scores.Conclusion: Aberrant dynamic regional coherence in sensorimotor, linguistic, and lateral temporal regions suggests dynamical interplay that underlying cognitive performance in children with BECTS, suggesting an intrinsic dynamic mechanism for BECTS.

WLS-ILIAD: New Longitudinal Resource for Cognitive and Dementia Data

One of the distinctive strengths of WLS is the availability of Henmon-Nelson IQ scores on all participants while in high school, followed by prospective collection of data through cognitive batteries of varying size and sophistication. Launched in 1993, the initial longitudinal cognitive testing included 8 abstract reasoning items followed by the administration of larger cognitive batteries in 2004 and 2011 comprised of a 10-item word recall test, digit ordering task, phonemic and category fluency, as well as repeated and new items from the WAIS-R similarities task first administered in the 1993 survey. In 2018, with R01 funding from NIA, the scope of cognitive testing expanded significantly and includes administration of a phone-based cognitive screening measure, and a comprehensive in-person neuropsychological assessment for individuals identified at risk for dementia targeting a range of cognitive domains, including memory, language, attention, visuospatial abilities, and executive functioning.

Predicting cognitive scores with graph neural networks through sample selection learning

Analyzing the relation between intelligence and neural activity is of the utmost importance in understanding the working principles of the human brain in health and disease. In existing literature, functional brain connectomes have been used successfully to predict cognitive measures such as intelligence quotient (IQ) scores in both healthy and disordered cohorts using machine learning models. However, existing methods resort to flattening the brain connectome (i.e., graph) through vectorization which overlooks its topological properties. To address this limitation and inspired from the emerging graph neural networks (GNNs), we design a novel regression GNN model (namely RegGNN) for predicting IQ scores from brain connectivity. On top of that, we introduce a novel, fully modular sample selection method to select the best samples to learn from for our target prediction task. However, since such deep learning architectures are computationally expensive to train, we further propose a learning-based sample selection method that learns how to choose the training samples with the highest expected predictive power on unseen samples. For this, we capitalize on the fact that connectomes (i.e., their adjacency matrices) lie in the symmetric positive definite (SPD) matrix cone. Our results on full-scale and verbal IQ prediction outperforms comparison methods in autism spectrum disorder cohorts and achieves a competitive performance for neurotypical subjects using 3-fold cross-validation. Furthermore, we show that our sample selection approach generalizes to other learning-based methods, which shows its usefulness beyond our GNN architecture.

B.7 Nutrition in the first two weeks of life, neonatal brain growth and cognitive outcomes in children born very preterm

Background: Nutrition in early life plays a critical role in the growth and neurodevelopment of preterm neonates. However, whether early nutrition modified the association of white matter injury (WMI) with brain maturation and neurodevelopmental outcomes remains unclear. Methods: In this prospective cohort study, very preterm neonates were recruited from the NICU at BC Women’s Hospital. MRI and measures of NAA/choline were obtained. Energy intake was recorded over the first two weeks of life and the cohort was dichotomized. Neurodevelopmental outcomes were assessed at 4.5 years of age using WPPSI-III. Results: Neonates in the high lipid group had higher levels of NAA/choline in the basal ganglia. When accounting for confounders, this relationship was only significant in neonates without WMI (p=0.04). Overall, neonates with larger WMI volumes had lower IQ scores at 4.5 years (p<0.001). However, this relationship was attenuated in the high lipid group (p=0.002) relative to the lower lipid intake group. Conclusions: In this cohort, higher energy intake is associated with increased brain maturation. Similarly, neonates with large WMI had higher full-scale IQ if they received greater lipid intake in the neonatal period, suggesting that greater early lipid intake may contribute to blunting the deleterious effects of WMI on neurodevelopmental outcomes.

Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood

Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3–36 years of age at first visit) and 128 typically developing controls. Intelligence measures were collected over a 20-year period. In ASD, Full Scale (FSIQ) and Verbal (VIQ) Intelligence started lower in childhood and increased at a greater rate with age relative to the control group. By early adulthood, VIQ and working memory stabilized, whereas nonverbal and perceptual scores continued to change. Our results suggest that in individuals with ASD, IQ estimates may be dynamic in childhood and young adulthood.

Impact of PICU Admission on Neurocognitive Function in Children

Objective To study the impact of admission to a pediatric intensive care unit (PICU) on children's neurocognitive performance. Methods A case–control observational study including 50 children & adolescents and 75 age and gender matched children and adolescents.The study subjects underwent formative IQ testing using the Stanford Binet IQ test 3 months after discharge from the PICU. Results 27 males and 23 females with a mean age of 6.98 years were included in the study. Almost two thirds of the cases were admitted to the PICU post operatively (surgical causes). More than half of the cases needed sedation, 38% needed mechanical ventilation and 12% needed inotropic support. There was no statistically significant difference between cases and controls are regard IQ scores (total, verbal and performance IQ scores), neither was there a difference between medical and surgical cases. Data from similar pediatric cohorts is conflicting. Conclusion PICU does not seem to affect cognitive outcome in pediatric survivors. Further long term studies using standard scoring systems and time points of assessment are required.

Use of Multi-Modality Technology to Reduce the Radiation Dose of Multi-Slice Spiral CT Coronary Angiography (MSCTCA) in Normal Weight and Overweight Patients

Purpose: This study was performed to explore the value of multi-modality technology, with a combination of narrow acquisition window, isocentric scanning, low tube voltage, low tube current and iterative reconstruction (IR), for reducing the radiation dose in multi-slice spiral computed tomography coronary angiography (MSCTCA). Materials and methods: In this prospective randomised controlled study, 154 patients with coronary heart disease (CHD) were classified according to body mass index (BMI) as normal weight (BMI 18–27kg/m2) or overweight (BMI ≥ 27 kg/m2), and divided into four groups: multi-modality–normal BMI group (A1, n = 82); multi-modality–overweight group (B1, n = 17); conventional–normal BMI group (A2, n = 39); and conventional–overweight group (B2, n = 16). The parameters in the multi-modality groups were as follows: isocentric scan, tube voltage = 80 kV, tube current control using 80% “smart milliampere”, and maximum current during 60–80% of the RR interval. The parameters in the conventional groups were as follows: normal position, tube voltage = 100 kV, tube current control using smart milliampere, and maximum current during 30–80% of the RR interval. The effective radiation dose (ED), objective image quality (IQ), noise, signal-to-noise ratio (SNR), contrast signal-to-noise ratio (CNR) and subjective 5-point Likert scale IQ scores of MSCTCA images were compared among the four groups. Results: The average EDs of groups A1, A2, B1and B2 were( 1.13±0.35 ) mSv, ( 3.36±1.30 ) mSv, ( 1.54±0.53 ) mSv and ( 5.90±0.93 ) mSv, respectively. There were statistically significant differences in ED between groups A1 and A2, and between groups B1 and B2 (all P < 0.01). Noise was significantly lower, and both SNR and CNR were significantly higher, in group A2 than group A1 (all P < 0.01), but there were no significant differences in these parameters between groups B1 and B2 (P = 0.14–0.51). The average IQ scores of groups A1, A2, B1and B2 were 4.46±0.59(Fig.3), 4.45±0.62(Fig.4), 4.39±0.68(Fig.5) and 4.42±0.66(Fig.6),respectively. There were no significant differences in subjective IQ scores among the four groups (P = 0.12). Consistency among observers in the subjective IQ scores of the four groups was very good, with intraclass correlation coefficients (ICCs) of 0.71–0.90. The subjective IQ scores of the coronary artery were excellent in all four groups, with a total good-to-excellent rate of ≥ 92.64%, and the total number of evaluable segments in the images of all four groups was ≥ 98.26%. Conclusions: Under conditions appropriate for clinical diagnosis, multi-modality technology can reduce the radiation dose of MSCTCA scans in both normal weight and overweight patients.

Intelligence Quotient Variability in Klinefelter Syndrome Is Associated With GTPBP6 Expression Under Regulation of X-Chromosome Inactivation Pattern

Klinefelter syndrome (KS) displays a broad dysmorphological, endocrinological, and neuropsychological clinical spectrum. We hypothesized that the neurocognitive dysfunction present in KS relies on an imbalance in X-chromosome gene expression. Thus, the X-chromosome inactivation (XCI) pattern and neurocognitive X-linked gene expression were tested and correlated with intelligence quotient (IQ) scores. We evaluated 11 KS patients by (a) IQ assessment, (b) analyzing the XCI patterns using both HUMARA and ZDHHC15 gene assays, and (c) blood RT-qPCR to investigate seven X-linked genes related to neurocognitive development (GTPBP6, EIF2S3, ITM2A, HUWE1, KDM5C, GDI1, and VAMP7) and XIST in comparison with 14 (male and female) controls. Considering IQ 80 as the standard minimum reference, we verified that the variability in IQ scores in KS patients seemed to be associated with the XCI pattern. Seven individuals in the KS group presented a random X-inactivation (RXI) and lower average IQ than the four individuals who presented a skewed X-inactivation (SXI) pattern. The evaluation of gene expression showed higher GTPBP6 expression in KS patients with RXI than in controls (p = 0.0059). Interestingly, the expression of GTPBP6 in KS patients with SXI did not differ from that observed in controls. Therefore, our data suggest for the first time that GTPBP6 expression is negatively associated with full-scale IQ under the regulation of the type of XCI pattern. The SXI pattern may regulate GTPBP6 expression, thereby dampening the impairment in cognitive performance and playing a role in intelligence variability in individuals with KS, which warrants further mechanistic investigations.